Malicious PDF — malware analysis report

Static analysis result for SHA-256 121df7f335ad15f2…

MALICIOUS

PDF

13.9 KB Created: 2010-08-29 16:19:36 Authoring application: styeZek colSnap
MD5: 79c7e20bd2e320e46e69850b07da7f2e SHA-1: 230dd08d9bd7e683eb13169a3d8ce2610efd7316 SHA-256: 121df7f335ad15f2a885568589814edd9261b7a2102f5d01ab2113fec0e5fa25
178 Risk Score

Malware Insights

MITRE ATT&CK
T1203 Exploitation for Client Execution T1059.007 JavaScript

The sample is a PDF file identified as malicious by multiple engines, including ClamAV and an ML classifier. Critical heuristics indicate exploitation of CVE-2010-0188, a known vulnerability in Adobe Reader related to XFA forms. Embedded scripts and files suggest the PDF is designed to download and execute a secondary payload, aligning with the 'Exploitation for Client Execution' technique. The document body contains obfuscated JavaScript, which, when deobfuscated, likely contributes to the exploit chain.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 7

  • Adobe Reader LibTIFF XFA image exploit — CVE-2010-0188 critical CVE likely CVE_2010_0188
    PDF contains the CVE-2010-0188 exploit template: XFA JavaScript heap-spray setup, a generated TIFF image payload, and assignment of that TIFF data to an XFA image field rawValue to trigger Adobe Reader's LibTIFF parser.
  • ClamAV: Pdf.Exploit.Dropped-81 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Exploit.Dropped-81
  • Embedded file low PDF_EMBEDDED
    PDF embeds a file attachment — could carry an executable or another weaponised document as a nested payload
  • XFA form low PDF_XFA
    PDF uses XML Forms Architecture — can contain script logic
  • Embedded script payload in PDF stream low PDF_EMBEDDED_SCRIPT_PAYLOAD
    PDF stream bytes contain an HTML/XFA <script> tag without accompanying Windows shell-execution primitives — common in accessible XFA forms but worth surfacing for analyst review.
  • PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED
    The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PDFSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://ns.adobe.com/xdp/
    • http://www.xfa.org/schema/xci/1.0/
    • http://www.xfa.org/schema/xfa-template/2.5/
    • http://ns.adobe.com/xtd/
    • http://www.xfa.org/schema/xfa-data/1.0/
    • http://ns.adobe.com/xfdf/
    • http://www.xfa.org/schema/xfa-form/2.8/

Extracted artifacts 7

Files carved from inside the sample during analysis.

FilenameKindSourceSize
embedded_file_obj0006.bin
d81baa73e490e4cb879e13927cacd1dd1be37524a37eac51603e15117c578777		 pdf-embedded-file PDF EmbeddedFile object 6 at offset 0x21F 84 bytes
embedded_file_obj0007.bin
24c130f03a4cf51d470b536e94c1e58af67665739e200e0ce198ad41086243c0		 pdf-embedded-file PDF EmbeddedFile object 7 at offset 0x2C1 228 bytes
embedded_file_obj0008.bin
7114288936d295afdc0651721015398cbf8f76aa646d7484f1fc7be00d3ea71d		 pdf-embedded-file PDF EmbeddedFile object 8 at offset 0x3E7 1032 bytes
embedded_file_obj0009.bin
c97e0522381d6196cc0695f35f4d065f15c9c86a9601a7f776c6afd3f4c6b460		 pdf-embedded-file PDF EmbeddedFile object 9 at offset 0x83D 199 bytes
embedded_file_obj0010.bin
2cb4f9a89a56d9b5b3b973887df716c3fd870abff2cf5e5b9b833fc479a1c27c		 pdf-embedded-file PDF EmbeddedFile object 10 at offset 0x955 10539 bytes
embedded_file_obj0011.bin
e6c26a3478346d27e841ad49868ebf68bf4c6863b6750e8d60bda3c4c6f79876		 pdf-embedded-file PDF EmbeddedFile object 11 at offset 0x32CE 77 bytes
embedded_file_obj0012.bin
92a3ce61d783e15932b5de127ce45a9b4c2f98f4da2453f65241573c1dda808a		 pdf-embedded-file PDF EmbeddedFile object 12 at offset 0x3369 56 bytes

Open this report in the interactive analyzer, or submit your own file for analysis.